Validity of models for predicting BRCA1 and BRCA2 mutations
about
Prevention of breast cancer in postmenopausal women: approaches to estimating and reducing riskDevelopment and validation of a simple questionnaire for the identification of hereditary breast cancer in primary care.Recent BRCAPRO upgrades significantly improve calibration.Pathogenesis, prevention, diagnosis and treatment of breast cancer.Five-year and lifetime risk of breast cancer among U.S. subpopulations: implications for magnetic resonance imaging screening.Translational advances regarding hereditary breast cancer syndromes.The BRCAPRO 5.0 model is a useful tool in genetic counseling and clinical management of male breast cancer cases.Morphological predictors of BRCA1 germline mutations in young women with breast cancer.Providing access to risk prediction tools via the HL7 XML-formatted risk web service.A two-stage approach to genetic risk assessment in primary care.Assessing biases of information contained in pedigrees for the classification of BRCA-genetic variants: a study arising from the ENIGMA analytical working groupUnderestimation of risk of a BRCA1 or BRCA2 mutation in women with high-grade serous ovarian cancer by BRCAPRO: a multi-institution study.Multiple diseases in carrier probability estimation: accounting for surviving all cancers other than breast and ovary in BRCAPRO.Simplifying clinical use of the genetic risk prediction model BRCAPRO.Establishing a program for individuals at high risk for breast cancer.Performance of BRCA1/2 mutation prediction models in Asian Americans.Prediction of BRCA Mutations Using the BRCAPRO Model in Clinic-Based African American, Hispanic, and Other Minority Families in the United StatesPerformance of prediction models for BRCA mutation carriage in three racial/ethnic groups: findings from the Northern California Breast Cancer Family RegistryBRCA1/2 mutations and triple negative breast cancers.Validation of the pedigree assessment tool (PAT) in families with BRCA1 and BRCA2 mutations.Frailty Models for Familial Risk with Application to Breast Cancer.Assessing women at high risk of breast cancer: a review of risk assessment models.The contribution of breast cancer pathology to statistical models to predict mutation risk in BRCA carriers.Predictors associated with MRI surveillance screening in women with a personal history of unilateral breast cancer but without a genetic predisposition for future contralateral breast cancer.Performance of BRCA1/2 mutation prediction models in male breast cancer patients.Tailored algorithms for hepatocellular carcinoma surveillance: Is one-size-fits-all strategy outdated?Breast cancer risk models: a comprehensive overview of existing models, validation, and clinical applications.Hereditary gynaecologic cancers in Nepal: a proposed model of care to serve high risk populations in developing countries.Accuracy of BRCA1/2 mutation prediction models in Korean breast cancer patients.Apparently "BRCA-related" breast and ovarian cancer patient with germline TP53 mutation.Simpson's paradox in the integrated discrimination improvement.A comparison of cancer risk assessment and testing outcomes in patients from underserved vs. tertiary care settings.Comparison between CaGene 5.1 and 6.0 for BRCA1/2 mutation prediction: a retrospective study of 150 BRCA1/2 genetic tests in 517 families with breast/ovarian cancer.Assessing the added value of breast tumor markers in genetic risk prediction model BRCAPRO.Assessment of individuals with BRCA1 and BRCA2 large rearrangements in high-risk breast and ovarian cancer families
P2860
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P2860
Validity of models for predicting BRCA1 and BRCA2 mutations
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Validity of models for predicting BRCA1 and BRCA2 mutations
@ast
Validity of models for predicting BRCA1 and BRCA2 mutations
@en
type
label
Validity of models for predicting BRCA1 and BRCA2 mutations
@ast
Validity of models for predicting BRCA1 and BRCA2 mutations
@en
prefLabel
Validity of models for predicting BRCA1 and BRCA2 mutations
@ast
Validity of models for predicting BRCA1 and BRCA2 mutations
@en
P2093
P2860
P50
P1476
Validity of models for predicting BRCA1 and BRCA2 mutations
@en
P2093
Andrea Eisen
Barbara L Weber
Beth N Peshkin
Camille Corio
David M Euhus
Debra Dutson
Dianne M Finkelstein
Donald A Berry
Edwin S Iversen
Gail Tomlinson
P2860
P304
P356
10.7326/0003-4819-147-7-200710020-00002
P407
P50
P577
2007-10-01T00:00:00Z